{"id":"https://openalex.org/W4395098237","doi":"https://doi.org/10.1007/978-981-97-2259-4_17","title":"Meta-Reinforcement Learning Algorithm Based on\u00a0Reward and\u00a0Dynamic Inference","display_name":"Meta-Reinforcement Learning Algorithm Based on\u00a0Reward and\u00a0Dynamic Inference","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4395098237","doi":"https://doi.org/10.1007/978-981-97-2259-4_17"},"language":"en","primary_location":{"id":"doi:10.1007/978-981-97-2259-4_17","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-981-97-2259-4_17","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000614649","display_name":"Jinhao Chen","orcid":"https://orcid.org/0009-0006-9195-7052"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinhao Chen","raw_affiliation_strings":["State Key Laboratory Of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, 100088, China"],"raw_orcid":"https://orcid.org/0009-0006-9195-7052","affiliations":[{"raw_affiliation_string":"State Key Laboratory Of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, 100088, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100633263","display_name":"Chunhong Zhang","orcid":"https://orcid.org/0000-0003-3008-1887"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunhong Zhang","raw_affiliation_strings":["Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, 100088, China"],"raw_orcid":"https://orcid.org/0000-0003-3008-1887","affiliations":[{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, 100088, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075198788","display_name":"Zheng Hu","orcid":"https://orcid.org/0000-0002-8874-5466"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zheng Hu","raw_affiliation_strings":["State Key Laboratory Of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, 100088, China"],"raw_orcid":"https://orcid.org/0000-0002-8874-5466","affiliations":[{"raw_affiliation_string":"State Key Laboratory Of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, 100088, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5075198788"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"223","last_page":"234"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9858999848365784,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.9014295339584351},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8517117500305176},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7803875207901001},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6649260520935059},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6451683640480042},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5735682845115662},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5672630071640015},{"id":"https://openalex.org/keywords/sample-complexity","display_name":"Sample complexity","score":0.5629014372825623},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4732045531272888},{"id":"https://openalex.org/keywords/meta-learning","display_name":"Meta learning (computer science)","score":0.42996877431869507}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.9014295339584351},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8517117500305176},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7803875207901001},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6649260520935059},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6451683640480042},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5735682845115662},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5672630071640015},{"id":"https://openalex.org/C2778445095","wikidata":"https://www.wikidata.org/wiki/Q18354077","display_name":"Sample complexity","level":2,"score":0.5629014372825623},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4732045531272888},{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.42996877431869507},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-981-97-2259-4_17","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-981-97-2259-4_17","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2158782408","https://openalex.org/W2168359464","https://openalex.org/W2781726626","https://openalex.org/W2963305465","https://openalex.org/W2980555752","https://openalex.org/W3040683359","https://openalex.org/W3107153805","https://openalex.org/W3210013777","https://openalex.org/W4205430897","https://openalex.org/W4226463308","https://openalex.org/W4289388948","https://openalex.org/W4293469690","https://openalex.org/W4307078904","https://openalex.org/W4310886183","https://openalex.org/W4311415873","https://openalex.org/W4317670814","https://openalex.org/W4318350380","https://openalex.org/W6600189597","https://openalex.org/W6600617704","https://openalex.org/W6601128452","https://openalex.org/W6605730092","https://openalex.org/W6608257180","https://openalex.org/W6732103282"],"related_works":["https://openalex.org/W2607437843","https://openalex.org/W4295700147","https://openalex.org/W4294873804","https://openalex.org/W2963162727","https://openalex.org/W4383109125","https://openalex.org/W2891227010","https://openalex.org/W2877093712","https://openalex.org/W2116157560","https://openalex.org/W2106714532","https://openalex.org/W4297979791"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}